Engagement Manager
- Location
- San Francisco, CA · On-site
- Job type
- Full-time
- Level
- Lead / Staff
- Experience
- 4+ years
- Education
- Bachelor's degree
- Listed
- 30 days ago
Skills & highlights for this role
- customer relationship management
- enterprise sales
- ML training and evaluation lifecycle
- revenue forecasting
Also useful
- technical program management
Stated benefits & perks
- Health
- Dental
- Vision
- 401k match
- Meal stipend
About the Role
As an Engagement Manager, you will own key customer relationships across application-layer companies, research labs, and enterprise clients, serving as the primary point of contact from evaluation through delivery. You’ll partner closely with technical and business stakeholders to guide training and deployment, resolve issues, and ensure a high-quality customer experience.
You’ll work cross-functionally with product, operations, and engineering to manage timelines, support execution, and surface insights that drive account growth. This role also plays a key part in expanding revenue-leading commercial processes for new and existing customers and helping leadership identify and unblock growth opportunities in a fast-moving AI environment.
About the role
- Manage and grow a portfolio of relationships across application-layer companies, research labs, and enterprise customers
- Serve as the primary point of contact for customer questions, issues, and escalations; triage internally and drive resolution.
- Lead commercial processes to close net-new and existing business
- Manage technical relationships with research teams and help guide evaluation and training strategy
- Work cross-functionally with product, operations, and engineering to track delivery and timelines
- Forecast revenue growth and help leadership understand how to unblock additional growth opportunities
Ideally you’d have
- 4+ years of total work experience, with experience in consulting or as a technical program management role in industry
- Technical BS/MS (or equivalent practical experience) and comfort working with ML/engineering stakeholders
- Experience in a top-tier Consulting Firm and fast-growth technology startup
- A proven track record in enterprise client facing roles and expanding customer relationships
- Excellent verbal and written communications
- Ability to understand the ML training and evaluation lifecycle and build trusted relationships with technical customers.
- Great cross-functional experience and collaborative ability
Compensation & Benefits
- Competitive salary w/ aggressive bi-annual performance bonus structure + meaningful equity (aligned with a venture-backed, rapidly scaling AI company)
- $1.5K monthly stipend for meals
- Free Equinox membership
- $200 monthly laundry/housekeeping reimbursement
- $200 monthly personal wellness reimbursement
- Health, Dental, Vision insurance
- 401(k) with company match
- Up to $15k Relocation bonus
- $10K proximity bonus (if you live within 0.5 miles of our office)
About Mercor
Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
From Mercor's careers page, first listed on Rolev.ai on October 10, 2026. Rolev.ai is not the employer.
How Rolev.ai helps with this application
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Common questions
Where is the Engagement Manager job at Mercor located?
This Engagement Manager position at Mercor is located in San Francisco, CA (On-site). Always check Mercor's application page for specific state eligibility or relocation policies.
What qualifications are required for Engagement Manager at Mercor?
For the Engagement Manager role, Mercor highlights 4+ years of relevant experience; a bachelor's degree; experience with customer relationship management, enterprise sales, ML training and evaluation lifecycle, revenue forecasting. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.
How do I apply for the Engagement Manager position at Mercor?
This listing links directly to Mercor's Ashby application page. You can apply directly on Mercor's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Ashby application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.